跳至主要内容
临床试验/NCT06749132
NCT06749132Enrolling By Invitation不适用

Deep Learning-enhanced Personalized Monitoring of Aortic Stenosis - The DETECT-AS Prognostic Study

Yale University4 个研究点 分布在 1 个国家目标入组 210 人开始时间: 2026年5月6日最近更新:
适应症

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
210
试验地点
4
主要终点
Annualized change in AV Vmax in m/sec/years

研究概览

简要总结

This study will evaluate the validity of a digital biomarker score for precision risk stratification among older adults with aortic sclerosis or mild aortic stenosis (AS) at three US health systems.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
65 Years 至 —(Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age 65 years or older
  • Prior transthoracic echocardiogram within the past 2-3 years showing aortic sclerosis without stenosis or mild AS

排除标准

  • Opted out of research studies
  • Non-English speaking
  • Any echocardiogram within 24 months of medical record review.
  • Prior history of aortic valve replacement or repair, including transcatheter and surgical AVR with either a bioprosthetic or mechanical valve
  • Presence of implantable cardiac devices, including permanent cardiac pacer, implantable cardioverter-defibrillator, or left ventricular assist device
  • Prior heart transplant
  • History of dementia
  • Unable to attend study visit at echocardiogram lab within four years of most recent echocardiogram.
  • Documented life expectancy of <1 year or current participation in hospice services

结局指标

主要结局

Annualized change in AV Vmax in m/sec/years

时间窗: From baseline TTE to TTE performed at enrollment

The primary outcome measure is the annualized change in AV Vmax in m/sec/years, defined as the absolute difference between the value on the enrollment and baseline echocardiogram measurement, divided by the time difference between the studies.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (4)

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